Quality & reliability

Plain-English scenarios written by scientists and product owners, turned into Playwright tests by AI agents and reviewed like code. Each run checks service health, provisions its own project and credits, and cleans up after itself, even when cancelled.

Background token refresh and secure delegation keep multi-hour jobs authenticated past access-token expiry, while tokens stay short-lived.

Lighthouse audits every morning on the public site, three runs per page with the median kept, posted as their own report to catch regressions between deploys.

End-to-end tests, CI pipelines, shared test libraries and developer utilities, so problems surface in the pipeline rather than after deploy.

Unit and integration tests on shared packages, lint and type checks in CI, and error monitoring with structured logs in production.

Large-scale refactoring of client apps into feature modules, with documentation kept next to the code.